Analyst / Senior Quantitative Analyst Resume Samples
4.7
(129 votes) for
Analyst / Senior Quantitative Analyst Resume Samples
The Guide To Resume Tailoring
Guide the recruiter to the conclusion that you are the best candidate for the analyst / senior quantitative analyst job. It’s actually very simple. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. This way, you can position yourself in the best way to get hired.
Craft your perfect resume by picking job responsibilities written by professional recruiters
Pick from the thousands of curated job responsibilities used by the leading companies
Tailor your resume & cover letter with wording that best fits for each job you apply
Resume Builder
Create a Resume in Minutes with Professional Resume Templates
CHOOSE THE BEST TEMPLATE
- Choose from 15 Leading Templates. No need to think about design details.
USE PRE-WRITTEN BULLET POINTS
- Select from thousands of pre-written bullet points.
SAVE YOUR DOCUMENTS IN PDF FILES
- Instantly download in PDF format or share a custom link.
MM
M Miller
Manley
Miller
9632 Goldner Light
Philadelphia
PA
+1 (555) 840 5407
9632 Goldner Light
Philadelphia
PA
Phone
p
+1 (555) 840 5407
Experience
Experience
Detroit, MI
Senior Quantitative Valuation Analyst
Detroit, MI
Barrows and Sons
Detroit, MI
Senior Quantitative Valuation Analyst
- Dedicated to creating, reviewing and maintaining internal fair valuation models on behalf of the Portfolio Managers and Pricing teams
- Provide special reports, analysis and/or research to the VLOC and the Funds Boards of Directors/Trustees
- Provide valuation and financial product review and insights
- Valuation of financial instruments: Support defining of valuation standards and perform valuation of complex financial instruments
- Attend audit meetings on behalf of the portfolio managers, Pricing teams and VLOC to explain in detail the valuation models and inputs
- Provision subject matter expertise: Bring financial market knowledge to the IAA organization and provide quantitative and analytical expertise
- Support the operational fair value hierarchy classification process and coordinate stakeholders
New York, NY
Senior Analyst, Quantitative Analysis
New York, NY
Lueilwitz, Aufderhar and Stiedemann
New York, NY
Senior Analyst, Quantitative Analysis
- Building tools to assist the business and senior management in identifying risk and implementing programs to manage risks
- Design and development of model enhancements
- Be responsible for overall quality and delivery of team work
- Contributing to the model development plan
- Develop the credit risk models including both operational and IRB models (i.e. PD, EAD and LGD models)
- Provide ongoing review of Model monitoring, identifying issues, proposing recommendations
- Become subject matter expert on Basel and operational models and point of contact for all queries relating to models and data
present
San Francisco, CA
Senior Data Scientist & Quantitative Trading Analyst
San Francisco, CA
Bins LLC
present
San Francisco, CA
Senior Data Scientist & Quantitative Trading Analyst
present
- Designing analytical models and conducting quantitative analysis leveraging large volumes of trading data from numerous feeds
- Developing and implementing analytical models to identify conduct or trading patterns potentially indicative of manipulative and other improper activity
- Working with Enforcement team to build quantitative analyses in support of charging recommendations and trial efforts
- Analyzing surveillance output to deliver reviews identifying impacts on market integrity and changes to consider
- Consulting with Surveillance and Investigation team to hone, enhance and build upon surveillances
- Working with existing and developing new software tools to collect, analyze and present large volumes of structured and/or unstructured trading and exchange data
- Building member report cards to support and demonstrate potentially problematic trading conduct analyses
Education
Education
Bachelor’s Degree in Finance
Bachelor’s Degree in Finance
Ball State University
Bachelor’s Degree in Finance
Skills
Skills
- Excellent command of MS Tools like Excel or Access, including ability to build complex quantitative models
- Attend audit meetings on behalf of the portfolio managers, Pricing teams and VLOC to explain in detail the valuation models and inputs
- Considerable expertise in Financial Instruments (structured and complex securities)
- Dedicated to creating, reviewing and maintaining internal fair valuation models on behalf of the Portfolio Managers and Pricing teams
- Familiarity with Bloomberg and other market information systems
- Financial experience – fixed income, bonds, valuation of investments, options…
- Proven programming skills (VBA, C++)
- Conduct applied research to identify, evaluate and test fair valuation models across equity, fixed income, currencies and derivatives instruments
- Complex Securities Support: Assist Global Pricing teams with complex securities valuation research and analysis. Includes creating models that would be used as secondary or tertiary validation sources for securities priced using broker/dealer quotes
- At least 5-7 years of experience in the financial industry (Market Risk Management, valuation, financial instruments, investment accounting)
8 Analyst / Senior Quantitative Analyst resume templates
Read our complete resume writing guides
1
Senior Quantitative Analyst, Risk Modeling Resume Examples & Samples
- Develop, implement and manage holistic strategies for modeling (design, development, validation, calibration, documentation, approval, implementation, monitoring and reporting), in collaboration with Risk Modeling Leader
- Conduct analytics to validate the performance of existing quantitative risk models, recommend changes, and support gap closing projects
- Lead modeling data capture, gathering, mastering and maintenance in support of modeling databases, in collaboration with platform resources
- Manage model supporting data warehouses in terms of accuracy and completeness; understand data and process structures from System of Record to Data warehouse to ensure accuracy and precision of data used for modeling, reporting and analysis
- Drive standardization of processes that ensure timely generation and retrieval of reporting and risk analytics data, including support of model management framework Incorporate operational definitions and conceptual system designs to create algorithms that meet business reporting and
- Bachelor's degree in Risk related field (Accounting, Business, Economics, Finance, Math/Stat, Operations Research, etc. with Quantitative underpinning) with 5+ years of relevant Risk or Finance experience or 1+ years of experience with an advanced degree
- Strong business finance acumen, especially in Financial Services Industry Experience in underwriting, risk, actuarial, statistical reporting roles
- Demonstrated experience in statistical model life-cycle management, including proficient level of expertise with at least one statistical modeling language/utility SAS (or equivalent) proficiency and expertise building and implementing routines for data transformation
- Demonstrated strong SQL skills and experience delivering SQL code and supporting physical database designs
- Strong knowledge of MS office tools, and data mining tools (Access, SQL, BO, SAS, etc.)
- Must submit your application for employment through www.gecareers.com to be considered (Internals via COS)
- Must be willing to comply with pre-employment screening, including but not limited to drug
- Graduate degree in Risk related field (Accounting, Finance, Economics, Math/Stat or Operations Research with Quantitative underpinning); FRM and CFA a plus
- Familiarity with Basel Initiative, Treasury operations and regulatory matters Experience in management of, or results driven contribution to, cross-functional teams (Risk, Finance, IT, Operations)
- Strong knowledge of commercial finance
- Demonstrated ability to lead and support projects from beginning to end
- Operational understanding of and experience with Model Risk, and balancing sophistication with simplicity (Ockham's Razor)
- Strong analytical, problem solving skills and attention to detail
2
Senior Quantitative Analyst Credit Risk Ccar Resume Examples & Samples
- Act as project lead and subject matter expert relating to model development and stress testing
- Conducting econometric, statistical analysis of credit data
- Performing stress testing, backtesting, sensitivity analysis, scenario analysis, etc
- Keeping abreast with latest research and white papers on credit risk parameters & developing methods to calculate value of parameters that meet Basel 2 and other regulatory requirements
- Excellent communication skills (written & verbal)
3
Senior Credit Risk Methodology Quantitative Analyst Associate Resume Examples & Samples
- Develop stress testing methodology to satisfy various regulatory requirements (CCAR/DFAST/ICAAP). This requires thorough statistical analysis of the underlying data, such as regression and time series analyses, and understanding of the various macroeconomic factors and risk factors that impact the credit quality of portfolios
- Develop models for portfolio analytics purpose, such as credit limit setting and loss reserve
- 5 to 10 years work experience in a quantitative research group at a commercial bank, investment bank, or consulting firm
- Statistical skills especially in the area of hypothesis testing, regression and discriminant analyses
- Familiarity with statistical packages (e.g., MATLAB, or R )
- Team player with strong interpersonal and communication skills
4
Senior Quantitative Business Analyst Resume Examples & Samples
- Managing our Quantitative Risk and Pricing initiatives including Unified Model Interface/Unified Financial Object BoW (Book of Work)
- Directly interface/work with Equity Derivative Trading Desk, MQA (Markets Quantitative Analysis) team, Equity Derivative Middle Office, Risk, Application Development, QA for any Quantitative Risk related initiatives
- Prepare and perform presentation/project status/governance reporting to interface partners, management and business
- Detailed business knowledge of Equity Derivative products and practical experience trading products
- Quantitative modeling background and strong understanding of complex pricing models use for equity derivative products
- Masters level education background on mathematics and/or financial engineering
- Practical experience in SDLC project life cycles is an advantage
- Strong written communication, presentation, organizational and interpersonal skills
- Eager to learn and self-motivated
5
Senior Quantitative Model Analyst Resume Examples & Samples
- Advanced degree in a quantitative field PhD(preferred) or Master’s
- Graduate level knowledge of statistics and of models of financial theory and stochastic processes
- Proficiency in some or all of C, C++, Matlab, SAS, other
- 3-5 years’ experience in model development, implementation and/or validation covering diverse areas, preferably Structured Finance
- Understanding or experience in Asset Management investment decisions is highly desirable
- Familiarity with Barclays Point/YieldBook/AdCo/Bloomberg/Reuters/Excel/Intex//Other
- Understanding of regulatory guidelines around Model Risk Management, a plus
6
Senior Quantitative Analyst Model Development & Management Resume Examples & Samples
- Work with key stakeholders including model users/owners, MTIC, MRM, Compliance and Risk to ensure all existing and new GWIM investment-related models comply with both regulatory and Bank model validation requirements including
- 7+ years of experience in quantitative roles in investment management, risk management, model validation, wealth management or related
- Experience in developing and reviewing code used in financial analytics and statistical analysis (e.g. Matlab, VB, R, C++)
7
Senior Credit Risk Methodology Quantitative Analyst Resume Examples & Samples
- Perform quantitative model testing, validation, and enhancement, as well as stress and back testing for the counterparty credit risk exposure measurement models, including Monte Carlo simulation, pricing and valuation models, margining, netting and aggregation models
- Develop analytical tools to support to other teams within Credit Department
- Advanced degree (PhD or MS) in a quantitative discipline (e.g., statistics, economics, finance, physics, math)
- PhD degree in a quantitative discipline
- Hands on experience with credit risk models, in particular, direct experience with Basel 2 IMM/Basel 3 approach in calculating regulatory capital, experience with stress testing models and A-IRB internal risk rating model development are highly desirable
- Experience with Monte Carlo simulation and numerical analysis would be desirable, but not required
8
Quantitative Analyst Senior Resume Examples & Samples
- Working with the implementation team to document requirements and ensure models are accurately implemented in production systems
- Provide analytical and research support for the development and maintenance of assigned models
- Generate data extracts and reports for use in statistical analysis
- Master’s/Advanced Degree in Quantitative field or MBA with quantitative focus
- 3 to 5 years in a directly related quantitative analytics
- Alternative: Combination of education and experience (years /description) With an appropriate Masters Degree 2 or more years directly related experience
- Strong quantitative skills in such areas as econometrics, statistics, hazard modeling, and time series analysis
9
Senior Treasury Quantitative Analyst Resume Examples & Samples
- Performs highly complex analysis and other work assignments for one of the following departmental functions
- BachelorÆs degree in Finance or Economics required. MBA or CFA preferred
- Typically requires 5 - 7 years or more of Treasury-related experience in at least one functional area: Asset/Liability, Funding/Liquidity or Investment Portfolio. For those aligned to the Investment Portfolio function, experience with fixed income portfolio management and analysis with emphasis on mortgage backed securities required
- Financial services / banking industry experience preferred
- Strong analytical, modeling, and database skills and experience required. Experience with ALM modeling software required (QRM preferred) for those aligned to Asset/Liability function
- Knowledge of Treasury & Funds Management, money markets, fixed income/capital markets, and derivatives
- Demonstrated ability to learn and become proficient with computer software, analytical and data base management tools
- Proven ability to independently manage multiple assignments and demonstrated initiative
- Demonstrated proficiency in critical thinking, leadership, business acumen, relationship building and teamwork
- Proficiency with Microsoft Office software, including Word, Excel, Access, PowerPoint, etc
10
Mortgage VP Senior Quantitative Analyst Resume Examples & Samples
- Broad background and deep understanding of Asset Liability and Pipeline Management, and related methodology, models, and processes including IRR, yield curves, prepayment risk, credit risk, and fallout risk
- Experience in statistical modeling. Familiarity with behavioral models such as mortgage prepayment and credit
- Experience back-testing and calibrating vendor based prepayment and credit models (ADCo)
- Solid understanding of fixed income and interest rate derivative products
- Solid understanding and work experience with yield curve models, their selection and calibration
- Solid programming skills such as SAS, SQL, VBA
- Experience implementing new modeling technics or processes in vendor base asset liability software such as (Compass, MIAC, PolyPath, or QRM)
- 5+ years of quantitative experience in the financial industry with Asset Liability Management
- Masters in Computational Finance, Mathematics, Statistics or related degree a plus
11
Senior eFX Quantitative Analyst Resume Examples & Samples
- Automated pricing
- Generating ideas for improvements to our automated pricing. Developing these models in software packages such as python and then implementing the live code in java
- At least 5 years' experience working in eFX / eRates market making on the buy or sell side OR 3 years working in another electronic trading field such as client execution algorithms
12
Senior Quantitative Analyst / Credit Forecast Resume Examples & Samples
- Bachelor's degree in statistics, finance or related required. Advanced degree in statistics/finance preferred
- Minimum five years experience in applying and managing use of statistical risk models - such as Credit Metrics, Credit Risk+, or Portfolio Manager
- Demonstrated experience in credit risk modeling and analytics
- Minimum 5 years experience in a cross- functional environment working with portfolio management concepts and constructing and explaining risk models
- Minimum 5 years database experience SAS preferred, understanding of SQL, Business Objects, Hyperion, SQL Server and General Microsoft products
- Product knowledge in general commercial lending products
13
Senior Quantitative Analyst / Stress Testing Resume Examples & Samples
- Defining Business requirements for stress testing and translating user requests into functional requirements
- Implement new PD and LGD stress test models using SAS
- Analyze model output and produce business validation results for further review by model owners
- Test and validate stress test functionality and provide user acceptance testing
- Support user requests for data analysis and results troubleshooting
- Developing, monitoring processes, and improving processes associated with management of models
- Providing business training support on the credit stress testing infrastructure
- As the FWST system undergoes planned development and evolution, the Stress Testing Quantitative Analyst will be accountable for project deliverables related to the provision, maintenance, analysis, and understanding of all models and the methodology
- Development and documentation of systems specifications
- Development and documentation of test plans and test cases related to system Models
- Independent validation of models and analysitc approaches within the SAS Credit Stress testing infrastructure
- Coordination and execution of system integration and user acceptance testing related to system models and functionality; and
- Design and documentation of proposed processes and system functionality related to provision of models and the application on the FWST system
- Credit risk processes and methodologies
- Prior experience of systems development projects
- Advanced SAS certification or equivalent skill set is required
- Proven experience using SAS and SQL language
- Well-developed relationship management skills
- Excellent influencing and negotiation skills
- Strong problem solving skills and capacity to turnaround analysis in short period of time
14
Senior Quantitative Analyst Executive Director Resume Examples & Samples
- Develop stress testing methodology to satisfy various regulatory requirements (CCAR/DFAST/ICAAP) and BAU risk management needs. This requires thorough statistical analysis of the underlying data, such as regression and time series analyses, and solid understanding of the various macroeconomic factors and risk factors that impact the credit quality of portfolios
- Work closely with other teams within Credit Department and business unit to socialize modeling work, take feedbacks and create buy-in
- Interface with internal and external stakeholders, including auditors and regulators (e.g. FRB, OCC and PRA), to present modeling work and defend analytical approach taken
- Write high-quality model documentation that satisfies the firm’s internal and external requirements
- Develop other models and analytical tools for portfolio analytics purpose
- Advanced degree (PhD or MS) in a quantitative discipline (e.g., economics, finance, statistics and math)
- 10+ years work experience in a quantitative modeling group at a commercial bank, investment bank, or consulting firm
- Hands-on, statistical skills especially in the area of hypothesis testing, regression and discriminant analyses
- Familiarity with statistical packages (e.g., MATLAB, or R ), SQL and VBA
- Previous experience interacting with regulators
- Hands on experience with credit risk models, in particular, direct experience with stress testing models and A-IRB internal risk rating model development are highly desirable
15
Senior Quantitative Analyst Ccar Resume Examples & Samples
- Bachelor's degree required
- Professional licensing or certification (FRM, CPA, CFA, etc.) required
- Minimum 5 years of experience in a quantitative analysis role
- Minimum 3 years working for a bank or financial institution
- Advanced degree in risk, finance, mathematics or statistics or related discipline (Ph.D, MBA, etc.) preferred *3+ years of investment banking, corporate banking, FP&A, stress testing experience highly desirable. *Advanced knowledge of CCAR, FR Y-14A, FR Y-14Q, FR Y-14M forms helpful
- Must have quantitative analysis, financial analysis and data management experience
- Must possess strong project management skills and the demonstrated ability to think critically and facilitate change through collaborative effort
16
Quantitative Analyst Senior Resume Examples & Samples
- Work effectively as a team member with other quantitative analysts at the company, as well as with external consultants
- Keep abreast with developments in Auto, RV, and Marine pricing within the competitive lending community and able to leverage best practices
- Work effectively either independently or as part of a team on completing various tasks in a timely manner. Provide support to document analytical solutions in accordance with the Bank's latest model governance policies
- Manage time and resources in a dynamic multi-task environment
- Assist in the assessment of the number of retail segmentation models required
- Will participate in the execution of the following
- Evaluate data gathered from multiple servicing and other source systems, reconcile differences, decompose high-level information into details, abstract up from low-level information to understand, and communicate insight to management and internal clients
- Bachelor’s Degree in Quantitative field required
- 4 to 6 years in a directly related quantitative analytics
- Alternative: Combination of education and experience (years /description) With an appropriate Masters Degree 2 or more years directly related experience or PhD with 1 or more years of experience
- Extensive experience in data exploration, data mining, data transformation, statistical estimation algorithms, and model design required. Advanced knowledge of SAS or SQL is preferred
- Experience in Financial Industry, with focus on determining mortgage, auto, unsecured or similar product pricing
- Team Player and able to work with little to no supervision
- Ability to work on multiple projects at the same time
- In addition to core competencies in credit risk , a thorough understanding of some or all of the following would be an asset
17
Senior Quantitative Analyst Gwim Models Center of Excellence Resume Examples & Samples
- Work with key stakeholders in development of GWIM revenue projection models: GWIM leadership, LoBs, Model Risk Management, IT/data providers to ensure developed models meet GWIM leadership requirements and enterprise model validation requirements
- Expert knowledge of forecasting models (e.g. machine learning, statistical modeling)
- 7+ years experience in related development roles preferably within a wealth management business
- An advanced degree from a top-tier institution is required, preferably in math, finance, economics, engineering, physics, statistics or a related field
- Experience in quantitative investment and risk modeling, including regression analysis, optimization models, machine learning, factor models and risk management metrics
- Excellent written, verbal communication and interpersonal skills
- Experience in developing and reviewing code used in financial analytics and statistical analysis, e.g., Matlab, R, Python, C++/C#, VB
- Series 7 & 66 (or 63 and 65) licensed is viewed as a positive
18
Quantitative Analyst, Senior Resume Examples & Samples
- Bachelor’s degree in Financial Engineering, Mathematical and Computational Finance, Physics, Statistics, Mathematics or other quantitative discipline
- 3 years of relevant work experience in areas such as performing quantitative analytic work or advanced degree research work in a relevant discipline
- Ph.D. or advanced degree in Financial Engineering, Mathematical and Computational Finance, Physics, Statistics, Mathematics, Engineering, Economics, or other quantitative discipline
- Experience in any of the following activities: analyzing natural gas or electricity prices; developing analytics for optimizing operations in natural gas or electricity businesses; researching and applying quantitative techniques in dealing with issues in natural gas or electricity businesses
- Strong programming skills in VBA or Matlab
- Strong familiarity with data visualization tools such as SAS JMP Pro
- Strong Familiarity with Monte Carlo simulation and tools such as @Risk and RiskOptimizer
- Strong knowledge of physical, financial and real options and derivatives in general
- Demonstrated familiarity and ability to apply and implement quantitative techniques (such as but not limited to the following: mathematical programming, optimization, stochastic processes, regressions, time series analysis, statistical methods, derivative pricing, Monte Carlo simulation) to business issues in supply and demand in electricity markets
- Ability to interpret and explain the analytical results and methods to technical and non-technical audiences
- Familiarity supply and demand side electricity markets (nuclear, hydro, fossil, solar, wind, energy storage, QF/CHP, biomass, GHG emissions and offsets, energy efficiency, demand response (supply and demand), distributed generation, time-of-use rates, short and long-term forecasting)
- Strong understanding of supply stack and loading order
- Perform risk and reward analyses at the individual and the portfolio asset levels
- Strong understanding of the regulatory environment in California and environmental regulations
- Economic, Quantitative Analysis, and market research
19
Senior Quantitative Analyst, VP Resume Examples & Samples
- Graduate degree in a quantitative discipline MSc, MMF or Ph.D. (physics, finance, economics, econometrics, statistics, mathematics, or equivalent experience.)
- Three to five years of relevant business experience in credit and/or market risk, risk management
- Well-developed project management and communication skills
- Well-developed relationship management skills and excellent written and verbal communication
- Ability to work in a dynamic environment under pressure and undertake, execute and deliver on time multiple concurrent projects
20
Counterparty Credit Risk Senior Quantitative Analyst Resume Examples & Samples
- Responsible for various quantitative model development and maintenance, associated User Acceptance Testing, change control and ongoing performance monitoring
- Responsible for model documentation based on the Bank’s standards for model owner, and ongoing discussion with Model Risk group related to the independent validation effort and remediation of identified issues
- Knowledge of regulatory requirements and internal model risk management policies for model owner
- Ensure data processes are sound through quality control checks of key source systems and technology framework
- Master’s degree or higher in a quantitative field
- 4 to 8 years of counterparty credit risk quantitative experience in a financial services organization preferred
- In-depth knowledge of counterparty credit risk models (PFE, CVA, EL etc.) and related regulatory requirements (i.e. US Basel III, DFA, Supervisory Guidance etc.)
- Strong knowledge of risk issues related to counterparty trading and extensive product knowledge
- Strong communication skills (verbal and written) and a strong aptitude to work with technology teams and collaborate with other members of the Analytics team
21
Senior Analyst, Quantitative Analysis Resume Examples & Samples
- Ensuring models meet regulatory and/or internal Group standards and identify and plan actions to address any issues
- Provide ongoing review of Model monitoring, identifying issues, proposing recommendations
- Closing actions and reporting within agreed timescales
- Responsibility for model documentation ensuring accuracy and relevance
- Become subject matter expert on Basel and operational models and point of contact for all queries relating to models and data
- Be responsible for overall quality and delivery of team work
- Support model deployment of any model enhancements
- Good understanding of credit risk modelling and the Basel Accord
- Strong analytical and problem solving ability
- The ability to interpret data for meaningful business decisions
- Experience in coding in SAS/R in a professional environment is essential
22
MMA Quantitative Trading, Senior Analyst Resume Examples & Samples
- Provide on-going pricing and execution support to the MMA trading team, with a particular focus on structured products
- Liaise with participants from the commodities markets, both in and from Europe particularly France, and the Middle East in their native tongue
- Accompany research and sales colleagues on client trips to Europe & the Middle East
- Outstanding post-graduate & tertiary qualifications in Mathematics or Engineering
- Some experience in a Structured Derivatives & Trading role
- Fluent English, French & Arabic Language skills to liaise with clients in their native tongue
- Programming skills in C++, Python & Visual Basic (VBA)
- Proven ability to sustain high level of performance under pressure with short deadlines
23
Quantitative Modeller Senior Analyst Resume Examples & Samples
- Assisting in the update of credit risk capital models, including data manipulation, statistical modelling for the purposes of calculating PD, LGD and EAD, co-ordinating with the independent validation function and documentation
- Embedding best practice model build operations including modular and flexible build components, focusing on automation, versioning, testing and documentation
- Assisting with project related work as it affects risk within the wider business, some of which will be provided to external regulators
- 3- 8 years' experience in a quantitative discipline, preferably in modelling for an Australian financial institution or professional services firm
- Basel II, II and Australian Prudential Standards (considered an advantage)
- Knowledge of SAS, R, Excel, Python, SQL or similar
- The ability to work individually as well within a team environment
24
Senior Index & Quantitative Analyst Resume Examples & Samples
- Extensive experience in index and quantitative research
- Proven track record of index predictions, accuracy and diligence
- Factset
- Thomson Reuters
- Expertise in office suite particularly excel and word
- Knowledge of Alphatesting is a plus
- 10+ years of experience within Global Quantitative Equity or Index Research space
- Bachelor degree from a top tier university
25
Investment Management Senior Quantitative Analyst Resume Examples & Samples
- Act as an expert resource on all matters related to risk modeling on asset classes such as Equities, Fixed Income/Liquidity, Multi-Asset and Fund of Funds
- Assist investment teams on model documentation of quantitative strategies and/or portfolio construction process
- Advice investment teams on regulatory requirements related to quantitative modeling
- Assist in model documentation of vendor based risk and pricing analytics
- Balance strong, innovative research skills with the practical ability to implement workable solution to problems
- Ph.D. or Master’s Degree in a technical field such as Mathematics, Statistics, Econometrics or Operations Research
- 5-10 years of experience in the financial services industry in a quantitative field, preferably with experience in model development/review, risk modeling and portfolio optimization
- Publication in peer reviewed academic/practitioner journals is a plus
- Programming skills in statistical packages such as R, SAS, Matlab and S+ and familiarity with database systems such as Sybase
- Familiarity with vendor risk systems such as RiskMetrics, BlackRock, MSCI/Barra, Yield Book, Barclay’s POINT, SunGard APT
- Excellent communication skills and credibility to operate at a senior level within the organization
- Driven, highly motivated and results focused
26
Senior Quantitative Support Analyst Resume Examples & Samples
- Ensure daily execution, quality, and correctness of underlying physical and financial risk and valuation models, interpreting results and investigating issues as they arise
- Maintain production system inputs, transaction modeling and content providing scheduled and ad-hoc analysis to business, analytic, and executive stakeholders as changes are implemented
- Translate quantitative and business concepts into efficient, robust, supportable system and business process design
- Utilize strong written and verbal communication to provide updates and analysis results to all stakeholders, including senior management, traders, portfolio managers, risk, mid and back office functions
- Provide tactical/real time support for risk/valuation systems and interfaces
- Collaborate with quantitative analysts, Risk, Front and Back office functions, and IT leadership to prioritize and execute on strategic projects
27
Senior Quantitative Analyst, Market Risk Resume Examples & Samples
- Develop, test, implement in software and maintain models and methods used for stress testing and forecasting operational losses following the established guidelines and processes
- Apply statistical techniques, such as regression and simulation, for forecasting in accordance with the industry best practices
- Support model risk and audit function in validation of the forecasting models and methods
- Perform internal validation of models developed by team mates
- As required, implement statistical algorithms and techniques in software independently
- Learn tools and techniques used by Quantitative Analysis team
- Obtain risk management certification (FRM or PRM) within 18 months of employment
28
Senior Quantitative Analyst, Advice Engines Resume Examples & Samples
- Integrate proprietary research into advice engines by working closely with Morningstar research, product managers, and developers to bring intellectual property and new methodology to market
- Develop an in-depth understanding of the WFE and APC methodologies and implementations
- Lead the development of prototypes that demonstrate functionalities of the engines
- Support internal and external clients through product demonstrations, troubleshooting, methodological proofs, and timely communication
- Translate product or functional requests from internal and external clients into detailed written specifications and user stories
- Lead the documentation of complex methodologies
- Is driven by data in developing and testing hypotheses and using the data to guide next steps
29
Senior Quantitative Frtb Business Analyst Resume Examples & Samples
- Analysis & documentation of current processes and functions & preparation of future state proposals
- Documentation of detailed business requirements and/or functional specifications
- Assessment and management of risks and issues: clear documentation and appropriate escalation to the PMs and the wider project team
- Detailed understanding and appropriate prioritisation of issues, and delivery of requirements
- Creation and review of user test plans
- Co-ordination and execution of user testing
- Direct involvement in planning key aspects of the project
- FRTB regulations, including an understanding of potential capital charges arising from FRTB
- Market Risk metrics - including VaR, SVaR, RWA, ESF, NMRF
- Risk Methodology and model construction
- Understanding of SQL (including ability to write queries)
- P&L production processes, including Clean, Hypothetical, Risk Theoretical P&L
- Good understanding of the evolving regulatory environment and its challenges
- Other basic IT skills, in particular experience using Python
30
Senior Analyst, Quantitative Analysis Resume Examples & Samples
- Tertiary qualifications in Mathematics (Statistics)/Engineering/Actuarial/Finance/Economics or a related discipline
- Experience in coding mathematical models in language such as R, Matlab, SAS, Java, C++ or SQL
- Strong verbal and written communication skills to enable you to explain technical concepts to a non-technical audience
- A post-graduate or honours degree in a related discipline (highly desirable)
31
Operational Risk Senior Quantitative Analyst Resume Examples & Samples
- Assist Operational Risk CCAR/DFAST stress testing model development
- Maintain and update model methodology document and model specification document
- Prepare quarterly model performance monitoring report
- Conduct quantitative research related to Operational Risk loss estimation methodology
- Support activities related to bank annual CCAR/DFAST stress testing process and loss estimation submission process
- Assist Director of Operational Risk Modeling and Analytics to prepare CCAR/DFAST documentation, documentation mapping and submission schedule preparation
- Prepare deliverables for regulatory exams and internal audits
- Masters Degree or PhD in quantitative disciplines such as Economics, Finance, Statistics, or Financial Engineering;3+ years hands-on modeling experience in Operational Risk or Credit Risk areas
- Working knowledge of current regulatory landscape (i.e., CCAR, Basel)
- Analytical thinking and training
- Collaborative problem-solving with good communication skills
- Integrity, combined with high personal and professional standards
- Proficiency in MatLab, R and /or SAS
32
Quantitative Senior Analyst Resume Examples & Samples
- Evaluate model performance in according with the framework requirements
- Address validation concerns as relates to the monitoring plan/procedures
- 5 years of data and/or quantitative experience within financial service industry, risk management, operations, academic research, or comparable area
- Strong knowledge of relational database, data analysis, mathematical modeling, and statistics
- Strong programming skills in data management software, such as SAS and SQL
- Ability to effectively communicate within all levels of the organization
33
QRM Senior Quantitative Analyst Resume Examples & Samples
- For deployed models, develop and execute ongoing model verification, performance reporting, and assist with change management processes and procedures, including but not limited to, back testing, including outcomes analysis. Work with model users and stakeholders to ensure models are fulfilling the objectives set for them
- As requested, meet with, and make presentations to, Bank and Bank Holding Company regulators. Provide credible, well-documented evidence supporting validity of models for their intended use
- Two years of relevant experience developing, documenting, implementing or validating quantitative models
- QRM Experience
- PhD
- Three years of experience developing, documenting, implementing, or validating quantitative models
34
Senior Quantitative Model Validation Analyst Resume Examples & Samples
- Advanced degree in quantitative discipline such as: Mathematics, Statistics, Finance, Economics or related field
- Two to five years of relevant experience
- Strong background and practical experience working with econometric concepts
- Excellent verbal and written communication skills are necessary (ability to explain complex ideas in simple, non-technical language)
- Familiarity with methods used to value fixed income and derivatives securities
- Experience with regulatory guidance (Basel, ICAAP, AMA and Market Risk Rule)
- Familiarity with vendor platforms such as: QRM, RiskMetrics, and Bloomberg
35
VP Senior Quantitative Analyst Resume Examples & Samples
- Lead methodology projects, gathering and documenting requirements, considering stakeholder interests, regulatory constraints and any potential deficiencies in the current methods exposed by quality assurance processes
- Investigate, analyze and design risk methods, respecting the aims of accurately capturing risks whilst considering system or other environmental constraints
- Design, develop and test code changes required to implement the risk methods in the risk systems, whilst assisting the technical teams responsible for optimization and promotion of the code to the production environment
- Contribute to the quality assurance processes surrounding risk measurement including back-testing and the VaR Adequacy (P&L Explain) process; cooperate with the risk model validation teams in the review and approval of risk models
- 7 – 10 years of relevant industry experience, preferably at a large IB
- Grasp the intricacies of governance-related processes and procedures
- A Ph.D. is preferred but not essential, depending upon level of experience
- Candidates able to exhibit a curious mindset and those able to demonstrate a strong intuition for identifying and measuring risks of traded instruments will be preferred
- Communication skills, both written and verbal, play an essential part of the day-to-day role. Previous experience in interacting with Front Office, validation functions is a plus
- Not Applicable
36
Senior Data Scientist & Quantitative Trading Analyst Resume Examples & Samples
- Bachelor’s degree in Computer Sciences, Financial Engineering or Finance and Mathematical Statistics with a minimum of eight years of experience
- Experience can be a substitute for an advanced degree, but Master’s or PHD preferred
- Developed understanding of equities and options trading, market structure and federal securities laws, regulations and rules in the US is highly desirable
- Experience in quantitative analysis and designing analytical models is required
- Strong working knowledge of SQL, UNIX, SAS, C++, R, Java, Excel, Matlab, Business Objects, and/or other programing languages and analytical tools is critical
- Strong interest in promoting market integrity
- Good judgment
- Ability to combine both detailed analysis with big picture purpose
- Curiosity and capability to grasp what different stakeholders are working to accomplish
- Ability to explain complicated issues clearly and concisely
37
Senior Statistical Quantitative Analyst Resume Examples & Samples
- Develops, documents, and defends quantitative models independently with a minimum of supervision or oversight
- Researches best practices and new modeling techniques
- Performs complex analysis and draws conclusions
- May oversee or assist less experienced analysts and provide mentorship to junior modelers
38
Senior Quantitative Model Analyst Resume Examples & Samples
- Bachelor or advanced degree with at least 5 years relevant experience building, documenting or validating Basel III A-IRB regulatory credit risk capital models at a financial institution, consulting firm, or related regulatory agency (e.g. Office of Comptroller of Currency, Federal Reserve)
- Experience working with large datasets and building or validating advanced statistical models (including regression and classification models)
- Programming experience in SAS (Base, STAT, and/or Enterprise Guide)
- Experience with MS Word, Excel, and Powerpoint
- Ability to work independently and proactively take the initiative to address issues in a timely manner
- Experience applying Basel A-IRB regulatory capital rules
- Experience working with financial institution model validation staff
- Experience interpreting and applying complex financial regulations
39
Senior Credit Quantitative Analyst Resume Examples & Samples
- Opportunity to participate in the development of state of the art stress testing models for AIRB Parameters (PD, LGD, EADs)
- Researching, developing, prototyping and implementing new modelling, calculation and reporting approaches in a continuous improvement cycle This includes adjusting model parameters, dealing with performance issues, and scheduling a formal IT update cycle
- Liaising internally with risk managers, including explaining model outputs, performing ad-hoc analysis and answering technical or background questions on the models and requirements
- Work closely with the global AIRB team on methodology aspects
- Work with Risk IT in the implementation of new methodologies
- Produce analyses required for regulatory reporting and analyses requested by regulators
40
Senior Quantitative Analyst / Risk Modeler Resume Examples & Samples
- Participate in data analytics, statistical model development, statistical testing, requirement documentation, and implementation testing of multiple, complex models
- Communicate modeling concepts and model assumptions with regulators, auditors, and independent model validation teams
- Complete required Model Risk Governance and Tool Risk Governance review procedures within or ahead of expected timelines
- Master’s Degree in Statistics, Economics, Finance, or related quantitative field (PhD preferred)
- 5-10 years of experience responsible for major tasks, deliverables, formal methodologies and disciplines for credit risk modeling at a financial institution regulated by the OCC or Federal Reserve
- At least 5 years of advanced statistical modeling experience
- Accounting rules related to charge-offs, recoveries, and non-accrual accounting
- Allowance for Credit Loss accounting rules and regulations
- Statistical model implementation
- Familiarity with stress testing concepts and related regulatory guidance (such as the Fed Letter SR11-7)
- Business analysis and requirements documentation
- Experience in model development for CRE and C&I
41
Senior Quantitative Equity Analyst Resume Examples & Samples
- Engineering and development of an institutional class investment and research platform to facilitate equity portfolio management and equity analysis
- Perform quantitative, cross sectional, stock selection modeling
- Perform programming using R, and SQL
- Work on diversified analytical projects to cover aspects of quantitative investment processes
- Perform research requiring data preprocessing, signal generation, risk modeling, and portfolio construction
- Conduct independent research that helps improve investment management process
- Supervision of model implementation utilizing the equity modeling platform
- Publishing of white papers and education of internal and external audiences
- A minimum of 10 years of industry experience
- CFA designation or candidate preferred
- Programming experience using R and SQL required. Experience with VBA, Matlab, Python and Factset beneficial
- Familiarity with external data sources and ability to manipulate large data sets
- Ability to work across a range of technology platforms
- Independent research ability and extensive knowledge in statistical or quantitative stock selection modeling
- Strong interest in investing and an excellent grasp of financial markets
- Familiarity with portfolio construction, factor modeling, and asset allocation
- Compile investment ideas from academic literature and other sources to formulate investment strategies
- Self-motivated, hard-working, creative and competitive personality
- Do what needs to be done in order to make the client experience and Hartford Funds better
- Act with integrity at all times – never put your reputation or the franchise’s reputation at risk
- Demonstrate financial discipline – focus on return on investments
- Enjoy what you are doing and who you do it with – Have fun!
- Continuously drive to deliver results, take accountability and ownership of work and strive for continuous improvement
- Never be satisfied with status-quo
42
Quantitative Analyst Senior Resume Examples & Samples
- Ability to lead employees from various functions to communicate, coordinate work across divisions, and collaborate in solving problems as one team
- Knowledge of tools, techniques, and practices, and ability to analyze and determine the credit-worthiness of a business enterprise through its financial statements
- Knowledge of and ability to use processes, tools, and techniques for exploring and evaluating alternative financial scenarios and results
- Knowledge of and the ability to use the tools, techniques, relevant statistical principles, and methods required to perform statistical analysis and measurement
43
Senior Quantitative Analyst Loss Forecasting & Strategic Risk Analytics Resume Examples & Samples
- Knowledge of financial analysis data mining and statistics. Demonstrate ability to pull and manipulate large data
- Minimum of 3-5 years of experience in a similar role such as loss forecasting
- Understanding of regression or some modeling techniques may be desirable
- Good written and verbal presentation skills and ability to communicate well
- Flexible, proactive working style and adaptive to a team environment
- Bachelor’s Degree Quantitative field required
- 3 to 5 years directly related quantitative analytics experience
- With an appropriate Master’s Degree 2 or more years directly related experience
- Strong quantitative skills in such areas as econometrics, statistics, modeling, and time series analysis
- Experience working with large data sets. SAS and SQL experience desirable
44
Senior Quantitative Model Development Analyst Resume Examples & Samples
- Works with management to develop and implement the Credit Risk model program across the organization, to include the development of new models and maintenance of existing models
- Evaluates the conceptual soundness of models using both quantitative (statistical) and qualitative techniques
- Documents model performance and controls. This includes review, effective challenge, assessing of validation results, written documentation and necessary changes of new and existing controls including assessment of conceptual soundness, model performance/outcomes analysis, and appropriateness of model assumptions, data sources, mathematical formulas, and business applications as well as communication of key model weaknesses and data limitations
- Communicates the results of model validations to key model stakeholders both orally and in a concisely written format. This will include presenting complicated concepts and analyses performed in a way that effectively communicates the validation findings to audiences with varying degrees of expertise in the domain
- Prepares ongoing performance monitoring packages for existing and newly-developed model inventory to support continued use
- Communicates the results of model development, performance and calibration in a concise written format
- Works with other members of the Bank’s Credit Risk Analytics team and other Bank senior management
- Establish and maintain effective partnerships with model owners, business unit risk managers, regulatory agencies, and auditors (internal and external)
- Assists with external engagements related to model development, ongoing maintenance, calibration, and validation
- Interfaces with regulators and senior management to prepare and present model results and remediation of internal audit or regulatory MRAs (matters requiring attention) in regards to the use of models
- Assists with preparation for quarterly Allowance for Loan and Lease Losses meetings, including updating models to derive quarterly financial reporting results
- Principles of finance, statistics, econometrics, financial economics, and actuarial mathematics
- Banking, finance, and securities industry operations from the perspective of banks, including familiarity with requirements for the Allowance for Loan and Lease Losses, the CECL model, and Dodd Frank Act Stress Testing
- Financial markets, with advanced understanding of financial products and loss estimation techniques, including Probability of Default and Loss Given Default
- Valuation of complex positions and instruments, and statistical techniques
- Federal Reserve’s model risk management guidance SR 11-07
- Critical thinking, problem solving, and creativity
- Ability to manage, coordinate and facilitate multiple initiatives in a fast paced and dynamic environment
- Conduct statistical analysis, incorporating both frequentist and Bayesian methods
- Compile, manage, query, and report on large and often complex data sets
- Ability to influence and guide across departmental boundaries
- Analyze, organize, and prioritize multiple tasks and meet deadlines
- Interpret, analyze, and apply technical information
- Stay abreast of industry best practices, procedures, and techniques, as well as regulatory and accounting guidance
- Develop and maintain model and policy documentation
- Attention to detail while maintaining a big picture orientation
- Bachelor's degree in Finance, Economics, or Quantitative Analysis with a minimum of six (6) to eight (8) years of experience in Finance, Audit and/or Risk Management roles or a Master’s degree with a minimum of two (2) to four (4) years of experience
- Experience in bank-regulated environment
- Financial services experience, preferably in banking/lending products
- Experience with financial models used for loss estimation preferred
45
Quantitative Analyst, Senior Resume Examples & Samples
- Mentor other team members as needed
- Lead analytic initiatives and conduct research studies as assigned
- Conduct exploratory data analysis and determine appropriate linkages across disparate data sources
- Evaluate information on an ongoing basis from multiple systems and dynamically monitor critical measures
- Work cross functionally to gather requirements from multiple departments, translate requirements into specifications and develop robust analytic workflows
- Collaborate with business units to continuously innovate new measures of company performance
- Assist Claims Leadership in targeted management of functional areas through new and existing Key Performance Indicators
- Develop predictive models to support and improve operational decision making throughout the claims lifecycle
- Work with Material Damage, SIU and other Claims areas to identify informational gaps and implement solutions to close gaps
- Assist others in production of reports, analytics solutions and system issues according to Analytic Department standards of quality assurance and customer service
- 5 years of experience writing SQL queries for enterprise databases
- 5 years of experience developing quantitative approaches on multiple data sources including summarization, aggregation, prediction, classification, clustering and/ or time series analysis
- Experience utilizing business intelligence and reporting tools on current technology platforms
- Excellent interpersonal skills with the ability to establish working relationships with individuals at varying levels within the organization
- Advanced degree in a quantitative discipline
- Experience working with text analysis and unstructured data
- Experience designing and maintaining time critical reports and dashboards
- Experience with high level languages and/ or analytics software packages
- Experience with R, Python and/ or SAS
- Experience working in the Property and Casualty Insurance Industry
- Ability to stay on the cutting edge and to quickly learn new technologies
- About National General Holdings
46
Senior Quantitative Valuation Analyst Resume Examples & Samples
- Valuation of financial instruments: Support defining of valuation standards and perform valuation of complex financial instruments
- Fair value hierarchy: Operational support of the global FVH classification process and coordination of the involved parties
- Provision subject matter expertise: Bring financial market knowledge to the IAA organization and provide quantitative and analytical expertise
- Support and conduct valuation of complex and OTC securities
- Monitor and investigate securities pricing issues and support the daily operation team in explaining those
- Undertake independent analysis of prices and market activities in relation to financial products
- Provide valuation and financial product review and insights
- Support improving system functionality for the processing of the fair value level allocation and stress test quantification in collaboration with IT
- Support the operational fair value hierarchy classification process and coordinate stakeholders
- Support the sensitivity analysis process
- Support preparation of operational readiness for new investment mandates
- Support the growth of financial market knowledge within the IAA organization
- Master’s degree in Quantitative Finance, Mathematics or similar university education
- At least 5-7 years of experience in the financial industry (Market Risk Management, valuation, financial instruments, investment accounting)
- Considerable expertise in Financial Instruments (structured and complex securities)
- Excellent command of MS Tools like Excel or Access, including ability to build complex quantitative models
- Proven programming skills (VBA, C++)
- Familiarity with Bloomberg and other market information systems
- A good understanding of Data base management and analysis is preferred
- A good understanding of accounting principles and regulations is preferred
- Financial experience – fixed income, bonds, valuation of investments, options…
47
Senior Statistical Quantitative Analyst Resume Examples & Samples
- Master’s degree in a relevant quantitative field such as Statistics, Economics, Engineering, or Mathematics, or Finance and work experience in applicable quantitative modeling, or an equivalent combination of degree and experience
- Strong statistical background
- Intermediate to advance level of SAS
48
Senior Quantitative Valuation Analyst Resume Examples & Samples
- Dedicated to creating, reviewing and maintaining internal fair valuation models on behalf of the Portfolio Managers and Pricing teams
- Conduct applied research to identify, evaluate and test fair valuation models across equity, fixed income, currencies and derivatives instruments
- Complex Securities Support: Assist Global Pricing teams with complex securities valuation research and analysis. Includes creating models that would be used as secondary or tertiary validation sources for securities priced using broker/dealer quotes
- Attend audit meetings on behalf of the portfolio managers, Pricing teams and VLOC to explain in detail the valuation models and inputs
- Provide special reports, analysis and/or research to the VLOC and the Funds Boards of Directors/Trustees
- Support Global Pricing teams with periodic deep dive analysis and reports
- Participate in the Vendor Due Diligence process analyzing vendor methodologies
- Client facing includes ad-hoc meetings with Sub Advised clients to respond to fair valuation questions/details and participate as needed during client due diligence meetings
- Bachelor's degree, preferably in finance, math or other quantitative discipline
- Advanced Degree: (MBA, PhD, M.Sci. preferred) in Business, Finance, Mathematics or any other quantitative or related business field of study look upon favorably
- Professional certifications such as Certified Financial Analyst (CFA), Financial Risk Manager (FRM) , or Chartered Alternative Investment Analyst (CAIA) are preferred
- At least 4-7 years of relevant work experience in the mutual fund/financial services industry; investment management, investment operations or investment performance and research analysis
- Advanced knowledge of statistical theory and a good understanding of financial instruments and markets
- Demonstrated ability to utilize quantitative, statistical and mathematical financial techniques for independent fair valuations of securities including prior experience in model development, risk, valuation, and model validation development and implementation for Structured Products, Foreign Exchange, Equity, Fixed Income and OTC derivatives
- Requires demonstrated ability to perform some database management and perform programming of the valuation models, and at a minimum utilizing tools such as Excel (macros) and market data from providers such as Bloomberg, Thomson Reuters, and Intex etc
- Excellent communication skills, requires written and verbal communication with senior leaders and professionals including Valuation Liquidity Oversight Committee members, Portfolio Managers, Internal/External Auditors, and Board of Directors/Trustees
- Able to handle multiple priorities concurrently and manage business expectations accordingly
- Direct experience on a trading desk or portfolio management team
- Complex securities valuation – experience with MBS, ABS, CMOS while not directly applicable, highly respected
- Working knowledge of common models, Black Scholes, binomial, GARCH, plain vanilla bond price
- Persuasive – ability to present a logical a well thought out explanation and rational especially with respect to models and their inputs
49
Senior Risk Analyst, Quantitative Modelling Resume Examples & Samples
- Clean-up and preparation of data to be used in the development, re-training and maintenance of all new and existing analytic methodologies supported by the Analytic Development Group
- Undertaking all of the data analysis requested by the quant methodologists
- Executing analytic development
- Rigorous validation and/or training of analytic models as needed
- Preparing and maintaining documentation supporting all analytics testing, performance evaluation, maintenance, and some development activities
- This role will interact and coordinate with other individuals in groups across S&P Global Market Intelligence and S&P that provide data
- This role will also tackle analytic questions by current and perspective clients, and may be asked to interact with Sales and Application Specialists, to support analytic models sale process
- Effective internal communications, with Information Technology (IT) team and Product Management (PM) team, supporting validation of model outputs generated by IT prior to model inception in the market, and highlighting any issues identified in model outputs validation
- Ability to spot problems and propose processes, or automate repetitive tasks
- This position will support projects and efforts to develop and maintain the whole range of analytics and analytic solutions that help support the generation of several million USD in annual revenue globally for S&P Global Market Intelligence
- Bachelor’s degree with good knowledge of mathematics and statistics is a pre-requisite
- PhD in analytic discipline preferred (math, physics, finance, economics, engineering, etc)
- Relevant modelling experience; with ability to develop credit risk models (probability of default –PD–, Loss Given Default –LGD– on Corporate companies – wholesale – and Small and Medium Enterprises –SME–)
- Excellent MatLab Skills, good Excel skills with functions (knowledge of VBA and Access advantageous but not required); knowledge of SQL is a plus
- Strong data analysis and data management capabilities
- Understanding of accounting and/or risk management concepts preferred
- Strong verbal and written communication skills (presentational, active listening)
- Good technical writing skills (English), for supporting senior team members in preparation and update of technical documents for each model release and/or white papers
- Thoroughly checks soundness of own/team work and probes more deeply when confronted with inconsistent or interesting findings
- Results-oriented, flexible/adaptable, able to manage multiple projects, keen to learn, proactive, real team player
- Ability to perform data analysis, preparation and clean-up tasks
- Identify problems on a timely basis (during model development, training, validation, etc) and suggest solution to the wider team
- Solve analytical problems and analyze possible solutions using standard procedures and exploiting MatLab and Excel tools
- Will work with other seasoned individuals in the team to solve complex issues
- Ensure that projects are completed on time, as directed
